Using kernel matrixes and other video image processing filters to detect and track objects; simply put, the computer vision techniques we'll use will be for removing the background from images and ...

The project focuses on real-time object tracking using image processing techniques. The goal is to detect and track moving objects in a live camera feed, primarily using background subtraction and ...

Image processing techniques can be used for tracking, depending on the type and complexity of the object or feature to be tracked, the quality and resolution of the images or video, and the ...

Many researchers are getting attracted in the field of object tracking in video surveillance, which is an important application and emerging research area in image processing. Video tracking is the ...

We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images. Running on a Silicon Graphics R4600 Indy system with an IndyCam, our ...

In this study, object tracking application by using image processing and PI controlling is implemented. The color property of the desired object which was wanted to be detected and tracked by image ...

OpenCV offers a wide range of functions for image processing, such as image filtering, feature detection, object detection, and more. Scikit-image is another popular image processing library in ...

Object tracking and tracking-by-detection are two important tasks in image analysis that have many applications in computer vision, robotics, surveillance, and video analysis.

Integration with Shield AI Object Detection brings together full motion video and AI-enabled object detection.